OMXC25 Index Forecast

Outlook: OMXC25 index is assigned short-term Baa2 & long-term B2 estimated rating.
AUC Score : What is AUC Score?
Short-term Tactic1 :
Dominant Strategy :
Time series to forecast n: for Weeks2
ML Model Testing : Modular Neural Network (Market Direction Analysis)
Hypothesis Testing : Lasso Regression
Surveillance : Major exchange and OTC

1Short-term revised.

2Time series is updated based on short-term trends.


Key Points

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About OMXC25 Index

The OMX Copenhagen 25 (OMXC25) is the benchmark stock market index of Nasdaq Copenhagen, the main stock exchange in Denmark. This index represents the performance of the 25 largest and most traded companies listed on the exchange. Its composition is reviewed semi-annually to ensure it accurately reflects the Danish equity market's leading entities. The OMXC25 serves as a key indicator for the health and direction of the Danish economy, providing investors with a snapshot of the performance of its most prominent publicly traded corporations.


The companies included in the OMXC25 span various sectors, offering broad diversification within the Danish corporate landscape. These companies are generally characterized by significant market capitalization and liquidity, making them attractive for both domestic and international investors. The index's performance is closely watched by analysts, economists, and policymakers as it influences investment decisions and reflects the overall sentiment towards Danish businesses and the broader economic environment.

OMXC25
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ML Model Testing

F(Lasso Regression)6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Modular Neural Network (Market Direction Analysis))3,4,5 X S(n):→ 6 Month i = 1 n a i

n:Time series to forecast

p:Price signals of OMXC25 index

j:Nash equilibria (Neural Network)

k:Dominated move of OMXC25 index holders

a:Best response for OMXC25 target price

 

For further technical information as per how our model work we invite you to visit the article below: 

How do KappaSignal algorithms actually work?

OMXC25 Index Forecast Strategic Interaction Table

Strategic Interaction Table Legend:

X axis: *Likelihood% (The higher the percentage value, the more likely the event will occur.)

Y axis: *Potential Impact% (The higher the percentage value, the more likely the price will deviate.)

Z axis (Grey to Black): *Technical Analysis%

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Rating Short-Term Long-Term Senior
OutlookBaa2B2
Income StatementBaa2C
Balance SheetBaa2B3
Leverage RatiosBaa2C
Cash FlowCCaa2
Rates of Return and ProfitabilityBaa2Baa2

*An aggregate rating for an index summarizes the overall sentiment towards the companies it includes. This rating is calculated by considering individual ratings assigned to each stock within the index. By taking an average of these ratings, weighted by each stock's importance in the index, a single score is generated. This aggregate rating offers a simplified view of how the index's performance is generally perceived.
How does neural network examine financial reports and understand financial state of the company?

References

  1. S. Devlin, L. Yliniemi, D. Kudenko, and K. Tumer. Potential-based difference rewards for multiagent reinforcement learning. In Proceedings of the Thirteenth International Joint Conference on Autonomous Agents and Multiagent Systems, May 2014
  2. Byron, R. P. O. Ashenfelter (1995), "Predicting the quality of an unborn grange," Economic Record, 71, 40–53.
  3. Harris ZS. 1954. Distributional structure. Word 10:146–62
  4. N. B ̈auerle and A. Mundt. Dynamic mean-risk optimization in a binomial model. Mathematical Methods of Operations Research, 70(2):219–239, 2009.
  5. Jorgenson, D.W., Weitzman, M.L., ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. Can Neural Networks Predict Stock Market?. AC Investment Research Journal, 220(44).
  6. Byron, R. P. O. Ashenfelter (1995), "Predicting the quality of an unborn grange," Economic Record, 71, 40–53.
  7. Breusch, T. S. (1978), "Testing for autocorrelation in dynamic linear models," Australian Economic Papers, 17, 334–355.

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